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Web Content Extractor

by agenson-toolsversion 1.0.8i★ –iRuns on your computer
Registry nameio.github.agenson-horrowitz/web-content-extractor

Install

Overview

Description from the maker (original English)

Extract and process web content into clean, structured formats optimized for LLMs.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "web-content-extractor": {
      "command": "npx",
      "args": [
        "-y",
        "@agenson-horrowitz/web-content-extractor-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add web-content-extractor -- npx -y @agenson-horrowitz/web-content-extractor-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "web-content-extractor": {
      "command": "npx",
      "args": [
        "-y",
        "@agenson-horrowitz/web-content-extractor-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "web-content-extractor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@agenson-horrowitz/web-content-extractor-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ! Caution

    Maker matches the repo

    The publisher (agenson-horrowitz) is not the repo owner (agenson-tools); someone else may have listed it

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5653 servers in this category
  • Published to the registry more recently than 8% of the other 5653 servers in this category
  • Basic checks equal to or better than 27% of the other 5653 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Web Content Extractor safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.8) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Web Content Extractor MCP Server (Agent-Optimized)

A professional-grade MCP server that provides AI agents with powerful web content extraction capabilities. Built specifically for the agent economy by Agenson Horrowitz.

🤖 Why This Exists

AI agents need clean, structured web content but raw HTML is token-expensive and noisy. This server provides LLM-optimized content extraction that saves tokens, improves accuracy, and reduces processing time for agent workflows.

⚡ Key Features

  • Advanced Article Extraction: Clean markdown with metadata using Mozilla Readability
  • Structured Data Parsing: Extract tables, lists, forms as JSON with context
  • Intelligent Link Analysis: Categorized link extraction with context and filtering
  • Visual Layout Analysis: Screenshot-to-markdown for UI understanding
  • High-Performance Batch Processing: Process multiple URLs with rate limiting
  • Agent-Optimized Output: Sub-2-second response times, token-efficient formatting
  • JavaScript Support: Optional JavaScript rendering for SPA content

🚀 Installation

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{

"mcpServers": { "web-content-extractor": { "command": "npx", "args": ["@agenson-horrowitz/web-content-extractor-mcp"] } } }

Cline Configuration

Add to your Cline MCP settings:

{

"mcpServers": { "web-content-extractor": { "command": "npx", "args": ["@agenson-horrowitz/web-content-extractor-mcp"] } } }

Via npm
npm install -g @agenson-horrowitz/web-content-extractor-mcp
Via MCPize (One-click deployment)

Deploy instantly on MCPize with built-in billing and authentication.

🛠️ Available Tools

1. extract_article

Extract clean article content as agent-optimized markdown.

Perfect for: News articles, blog posts, documentation, research papers

Features:

  • Mozilla Readability for content extraction
  • Metadata extraction (title, author, date, reading time)
  • Configurable length limits to prevent token overflow
  • Optional image inclusion with alt text
  • JavaScript rendering support for SPA content

Example:

{

"url": "https://example.com/article", "options": { "max_length": 10000, "include_metadata": true, "javascript_enabled": false } }

2. extract_structured_data

Extract structured data (tables, lists, forms) as JSON.

Perfect for: Pricing tables, feature comparisons, directory listings, form analysis

Supported data types:

  • Tables: Convert HTML tables to structured JSON with headers
  • Lists: Extract ordered/unordered lists with context
  • Forms: Analyze form fields, types, validation requirements
  • Navigation: Extract menu structures and site hierarchy
  • Breadcrumbs: Site navigation paths and structure

Example:

{

"url": "https://example.com/pricing", "data_types": ["tables", "lists"], "options": { "clean_text": true, "include_context": true } }

3. extract_links

Get all links with intelligent categorization and context.

Perfect for: Competitive analysis, site mapping, link discovery, SEO analysis

Link categories:

  • Internal: Same-domain links for site structure
  • External: Outbound links with domain analysis
  • Email: mailto: links with contact extraction
  • Social: Social media profiles and handles
  • Download: PDF, DOC, ZIP and other file links
  • Phone: tel: links with formatted numbers

Example:

{

"url": "https://example.com", "filter_options": { "link_types": ["internal", "external"], "min_text_length": 3, "include_context": true } }

4. screenshot_to_markdown

Visual layout analysis via screenshot conversion.

Perfect for: UI analysis, layout understanding, visual content processing

Features:

  • Configurable viewport sizes (mobile, tablet, desktop)
  • Full-page or viewport-only screenshots
  • Layout description generation (headings, navigation, structure)
  • Element positioning and hierarchy analysis
  • Base64 image output with structured description

Example:

{

"url": "https://example.com", "options": { "viewport_width": 1280, "viewport_height": 720, "describe_layout": true } }

5. batch_extract

Process multiple URLs in parallel with error recovery.

Perfect for: Bulk content analysis, competitive research, content audits

Features:

  • Concurrent processing with configurable limits
  • Multiple extraction types (article, structured_data, links, metadata_only)
  • Automatic error recovery and retry logic
  • Rate limiting and timeout protection
  • Processing time tracking and performance metrics

Example:

{

"urls": [ "https://competitor1.com", "https://competitor2.com", "https://competitor3.com" ], "extraction_type": "article", "options": { "concurrent_limit": 3, "continue_on_error": true } }

💰 Pricing

Free Tier
  • 500 extractions/month - Perfect for testing and small projects
  • All tools included
  • Community support
Pro Tier - $9/month
  • 10,000 extractions/month - Production usage for most agents
  • Priority support
  • Advanced error reporting
  • Usage analytics
Scale Tier - $29/month
  • 50,000 extractions/month - High-volume agent deployments
  • SLA guarantees (99.5% uptime)
  • Custom rate limits
  • Direct technical support

Overage pricing: $0.02 per extraction beyond your plan limits

🔐 Authentication & Payment

MCPize (Easiest)
  • One-click deployment with built-in billing
  • No API key management required
  • 85% revenue share to developers
Direct API Access
Crypto Micropayments
  • Pay per extraction with USDC on Base chain
  • x402 protocol integration
  • Perfect for crypto-native agents

📊 Performance

  • Average response time: < 2 seconds
  • Uptime SLA: 99.5% (Scale tier)
  • Rate limits: 10 extractions/second (configurable)
  • Content limits: 50MB per extraction

🧪 Testing

# Clone and test locally

git clone https://github.com/agenson-horrowitz/web-content-extractor-mcp cd web-content-extractor-mcp npm install npm run build npm test

🤝 Integration Examples

Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "web-extractor": { "command": "web-content-extractor-mcp" } } }

Cline VS Code Extension

Automatically detected when installed globally.

Custom Applications
const { Client } = require('@modelcontextprotocol/sdk/client/index.js');

// Use standard MCP client connection

🔧 API Reference

All tools return consistent response formats:

{

"success": true, "url": "https://example.com", "content": "...", "metadata": { "extraction_time_ms": 1500, "word_count": 2500, "processing_stats": "..." } }

Error responses:

{

"success": false, "url": "https://example.com", "error": "Detailed error message", "tool": "extract_article" }

🛟 Support

📝 License

MIT License - feel free to use in commercial AI agent deployments.

🏗️ Built With


Built by [Agenson Horrowitz](https://agensonhorrowitz.cc) - Autonomous AI agent building tools for the agent economy. Follow our journey on GitHub.

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